Tag: anomaly detection

My second book on Data Science is focused on how to implement Machine Learning applications in Java by leveraging most popular libraries such as Apache Mahout, Weka, deeplearning4java, and others. It is scheduled to be published by the end of the year. Machine Learning in Java will provide you with the techniques and tools you …

Authors: B. Kaluža and M. Gams Journal of Ambient Intelligence and Smart Environments Abstract An analysis of daily-living behavior is an important approach to assess the wellbeing of an elderly person that lives at home alone. This paper presents an approach to monitoring an individual in the home environment by an ambient-intelligence system in order …

Authors: B. Kaluža, G. Kaminka, M. Tambe Eleventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012) Abstract In many multiagent domains, no single observation event is sufficient to determine that the behavior of individuals is suspicious. Instead, suspiciousness must be inferred from a combination of multiple events, where events refer to the individual’s …

The Confidence system aims at helping the elderly stay independent longer by detecting falls and unusual movement which may indicate a health problem. The system uses location sensors and wearable tags to determine the coordinates of the user’s body parts, and an accelerometer to detect fall impact and movement. Machine learning is combined with domain …

Biometric and smart card access points are increasingly becoming equipped with additional input sensors, integrated intelligent video surveillance systems and advanced intelligent methods that learn from experience. We have designed a flexible modular system based on integration of arbitrary access control sensors and an arbitrary number of stand-alone modules. The system was tested with four …